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Table of contents
Introduction
Chapter I : Evolution of modelling
1. Basic definitions
1.1. System and reference system
1.2. Model
1.3. Meta-model
1.4. Modelling cycle
1.5. Model clade
1.6. Contributors
1.7. Model objectives
2. Modelling evolutions
2.1. Objective shift : segregation models
2.2. Approach shift: pedological models
2.3. Representation shift: traffic models
2.4. Conclusion
3. A similar evolution in Epidemiology
3.1. Epidemiology history
3.2. Classic models
3.3. Shift of representation
3.4. Shift in modelling approach: EpiSIM and Episims
3.5. Objective shift: MALCAM and Simpest
3.6. Conclusion
4. Synthesis
4.1. Summary
4.2. KISS and KIDS
Chapter II : World models
1. World models
1.1. Introduction
1.2. Characterisation of the world models
1.3. How to design world models?
1.4. Conclusion
2. Methods to design world models
2.1. Method requirements
2.2. Software engineering methods
2.3. Complex system oriented modelling methods
2.4. Synthesis
3. Tools to design and implement world models
3.1. Expressing conceptual models
3.2. Documentation
3.3. Implementation tools
3.4. Summary of the selected support tools
4. Conclusion
Chapter III : Application context and objectives
1. Avian influenza: history, context and research project
1.1. Introduction to influenza
1.2. H5N1 virus
1.3. Vietnam: poultry production and avian influenza
1.4. The Gripavi project
2. Avian influenza in Vietnam: associating classic models to create a world model
2.1. Characterisation of the reference system
2.2. Review of prior avian influenza models
2.3. Using these information to create a world model
3. Conclusion
Chapter IV : The GAMAVI model
1. Initial steps
1.1. Introduction
1.2. Research question and reference system description
1.3. Domain model
1.4. Global data assessment
2. Iterative modelling
2.1. Commercial system
2.2. Modelling the farm entity
2.3. Modelling the flock entity
2.4. Spatial environment
2.5. Generating the village
2.6. Epidemiological model
2.7. Epidemiological interactions
2.8. Conclusion
3. Conclusion
3.1. Final implemented model
3.2. Synthesis
Chapter V : KIMONO
1. Introduction
2. Model contributor roles
3. Modelling cycle
3.1. Initial steps
3.2. Iterative modelling
3.3. End of the process and possible use of the final model
4. Modelling guidelines
4.1. Conceptual models
4.2. Implemented models
5. Support tools for the documentation
6. Conclusion
Chapter VI : Conclusion and perspectives
1. General conclusion
2. Perspectives
2.2. KIMONO enhancements
Bibliography
Annex 1: Collaboration CIRAD – MSI pour l’étude et la modélisation de la grippe aviaire au nord Vietnam
Annex 2: ODD description of the final GAMAVI model
Annex 3: Poultry Production system description
Annex 4: Simulations GAMAVI




